Triple

T16929522
Position Surface form Disambiguated ID Type / Status
Subject Katsura Kogorō E410666 entity
Predicate familyName P18 FINISHED
Object Katsura
Katsura is a Japanese surname most famously associated with the Meiji-era statesman and samurai Katsura Kogorō (also known as Kido Takayoshi).
 E1241421 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Katsura | Statement: [Katsura Kogorō, familyName, Katsura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katsura
Context triple: [Katsura Kogorō, familyName, Katsura]
  • A. Shōji-ko
    Shōji-ko is one of the Fuji Five Lakes in Yamanashi Prefecture, Japan, known for its scenic views of Mount Fuji and relatively undeveloped, tranquil surroundings.
  • B. Shōji
    Shōji is a Japanese masculine given name that can be written with various kanji and is borne by numerous notable figures in fields such as the military, arts, and sports.
  • C. Fukusaki
    Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
  • D. Ikenobo
    Ikenobo is the oldest and most traditional school of Japanese flower arranging (ikebana), renowned for codifying many of the art’s classical styles and principles.
  • E. Kanze
    Kanze is a prominent Japanese family name historically associated with a major school of Noh theatre.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Katsura
Triple: [Katsura Kogorō, familyName, Katsura]
Generated description
Katsura is a Japanese surname most famously associated with the Meiji-era statesman and samurai Katsura Kogorō (also known as Kido Takayoshi).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katsura
Target entity description: Katsura is a Japanese surname most famously associated with the Meiji-era statesman and samurai Katsura Kogorō (also known as Kido Takayoshi).
  • A. Shōji-ko
    Shōji-ko is one of the Fuji Five Lakes in Yamanashi Prefecture, Japan, known for its scenic views of Mount Fuji and relatively undeveloped, tranquil surroundings.
  • B. Shōji
    Shōji is a Japanese masculine given name that can be written with various kanji and is borne by numerous notable figures in fields such as the military, arts, and sports.
  • C. Fukusaki
    Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
  • D. Ikenobo
    Ikenobo is the oldest and most traditional school of Japanese flower arranging (ikebana), renowned for codifying many of the art’s classical styles and principles.
  • E. Kanze
    Kanze is a prominent Japanese family name historically associated with a major school of Noh theatre.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf23873c8190bdc9121d6c3850e2 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdeb7a88190aac21a8645607dc8 completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0a0852c8190991af93d50fa2216 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d14b83d88190b3dbc124d5b33029 completed May 10, 2026, 6:41 p.m.
Created at: April 10, 2026, 5:30 a.m.